A Two-Stage Approach for a Mixed-Integer Economic Dispatch Game in Integrated Electrical and Gas Distribution Systems

We formulate for the first time the economic dispatch problem among prosumers in an integrated electrical and gas distribution system (IEGDS) as a game equilibrium problem. Specifically, by approximating the nonlinear gas-flow equations either with a mixed-integer second-order cone (MISOC) or a piecewise affine (PWA) model and by assuming...

Equilibrium Seeking and Optimal Selection Algorithms in Peer-to-Peer Energy Markets

We consider a clearing problem in peer-to-peer energy markets, where prosumers can trade energy among each other and with the main grid to meet their energy demands. By using a game-theoretic formulation and exploiting operator-theoretic methods for generalized Nash equilibrium seeking, we propose two variants of the state-of-the-art distributed...

Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning

Security Constrained Unit Commitment and Economic Dispatch applied to the Modified IEEE 39-bus system Case

The operation schedule of the power generation units in electrical power systems is determined by the optimisation problem known as unit commitment (UC), aiming at minimising the total cost considering the generation constraints. To obtain a feasible solution from the network perspective, the security-constrained UC (SCUC) problem has been...

Security Constrained Unit Commitment and Economic Dispatch by AC Sensitivity Factors

The dispatch schedule of the electrical power plant units is the result of the solution to the unit commitment optimisation problem, and it minimises the cost of production considering pre-defined technical limits. The security-constrained unit commitment problem has been defined as including the network constraints in the previously mentioned...

Value Change, Value Conflict, and Policy Innovation: Understanding the Opposition to the Market-Based Economic Dispatch of Electricity Scheme in India Using the Multiple Streams Framework

As policy innovation is essential for upscaling responsible innovation, understanding its relationship to value change(s) occurring or sought in sociotechnical systems is imperative. In this study, we ask: what are the different types of values in the policy process? And, how does value change influence policy innovation? We propose a...

Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning

The integration of pipeline energy storage in the control of a district heating system can lead to profit gain, for example by adjusting the electricity production of a combined heat and power (CHP) unit to the fluctuating electricity price. The uncertainty from the environment, the computational complexity of an accurate model, and the scarcity...

A Distributed Augmented Lagrangian Method over Stochastic Networks for Economic Dispatch of Large-Scale Energy Systems

In this paper, we propose a distributed model predictive control (MPC) scheme for economic dispatch of energy systems with a large number of active components. The scheme uses a distributed optimization algorithm that works over random communication networks and asynchronous updates, implying the resiliency of the proposed scheme with respect...

Bidirectional softlinking for optimal energy planning

The urgent transition to other forms of energy production, delivery and consumption has induced investments in new technologies such as renewable energy sources, storage units and demand response programs. Investments in these assets represent long-term commitments (e.g. 40 years ahead) from civil society, governmental institutions and capital...

Online Network-Constrained Dispatch of Distributed Generators in Radial Networks

High penetration of distributed generation will be characteristic to future distribution networks. The dynamic, intermittent, uncertain and deregulated nature of distributed generation raises the need for online, distributed economic dispatch techniques. In this paper, we demonstrate the application of such approaches using population dynamics....

Hierarchical model predictive control for energy management of power-to-X systems

This paper presents the application of Hierarchical Model Predictive Control (HMPC) as an energy management framework for a multi-timescale mixed-energy system, i.e., Power-to-X (PtX). The goal of the energy managing controller is to minimize an economic objective by determining the energy flows within the system. HMPC enables a long-term...

Distributed Reinforcement Learning Algorithm for Dynamic Economic Dispatch with Unknown Generation Cost Functions

In this article, the dynamic economic dispatch (DED) problem for smart grid is solved under the assumption that no knowledge of the mathematical formulation of the actual generation cost functions is available. The objective of the DED problem is to find the optimal power output of each unit at each time so as to minimize the total generation...

System effects of cross-border transmission capacity and seasonal storage on the future Dutch power system

The Dutch government aims at 70% of electricity production from renewable energy sources in 2030 in order to reach a CO2 emission reduction of 49% as compared to 1990 levels. With the increasing share of variable renewables in the European power system, it becomes increasingly more important to find a way to deal with generation volatility. The...

Assessment of operation reserves in hydrothermal electric systems with high wind generation

In this paper, we propose a method to analyze the amount of operation reserves procured in a system based on two stages. The first stage is a detailed hourly unit commitment and the second stage is a simulation model with a shorter time period. The method is applied to the Spanish hydrothermal system and several cases are analyzed to determine...

Flexible international exchanges: A possible solution for large-scale wind power integration within the future power system

This report will focus on one important aspect of the transitional wave towards the future, which is the current issue of large-scale wind integration within the power system. The approach aims to illustrate the significance that international exchange can play in wind power's integration and it will be assisted by a computational tool, PowrSym3...

Impacts of wind power on thermal generation unit commitment and dispatch