A pool-based energy market model for microgrids characterized by scheduled blackouts

Loading...
Thumbnail Image

Date

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Ltd

Abstract

This paper proposes a novel pool-based energy market platform suitable for developing countries where electric utilities suffer from the lack of sufficient generation capacities. To compensate for the electric utility outages, diesel generators are considered as primary sources of energy. However, diesel generators are quite polluting and expensive. Therefore, the objectives of the proposed market are to reduce reliance on both the diesel generators and the grid during peak hours, increasing the contribution of clean energy technologies within the distribution network and achieving profitability for all participants. The proposed market is based on the interaction of three main players: the distribution system operator, the microgrid community agent and the microgrid/load agent. Multiple sequential optimization problems are formulated to accomplish the market objectives, and solutions are sought through genetic algorithm, dynamic programming energy management algorithm, and interior point algorithm. The implementation of the proposed market, compared to independent market operation, results in further reduction in diesel generators power supply, almost complete utilization of excess photovoltaic energy, elimination of energy shortages, and cutting down of all participants’ annual operating costs. © 2020 Elsevier Ltd

Description

Keywords

Energy flow optimization, Energy trading, Market clearing price, Microgrid community, Pool-based market, Developing countries, Diesel engines, Dynamic programming, Genetic algorithms, Microgrids, Operating costs, Power markets, Solar power generation, Annual operating costs, Clean energy technology, Distribution systems, Energy management algorithms, Energy market modeling, Generation capacity, Interior point algorithm, Sequential optimization, Developing world, Electrical power, Energy management, Energy market, Genetic algorithm, Model, Operations technology, Optimization, Photovoltaic system, Outages

Citation

Endorsement

Review

Supplemented By

Referenced By